Paper Citation Record · LEDGER

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.20451.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.20451 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T15:29:48.925275Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c04344e-7f5e-4db6-a46c-4bbe9e33334e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6af72f4-214a-4b92-a150-bcbaf68110c2 · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c479f6a-6f65-4dd1-bdc3-5cde4ba1d23d · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data International Conference on Artificial Intelligence and Statistics , pages=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ee3463-306d-4c7e-97b6-88bcd1eab442 · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbe2ea1-09c7-47ee-8d21-3b82821bd719 · outbound

This paper cites 2019 , organization=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data 2019 , organization=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1224bc-b86d-4c1e-87de-b2b35c2c535d · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f787cc8-fb5e-4d52-a8b3-f74a40264152 · outbound

This paper cites IEEE Transactions on Biomedical Engineering , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data IEEE Transactions on Biomedical Engineering , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdec42a9-ac5c-47e4-96aa-ce4612e8aee6 · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf0f451-35cc-4224-b487-e12810d5c6c7 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f353dd7f-629e-40a1-8954-08c869cae871 · outbound

This paper cites Annual Review of Statistics and Its Application , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Annual Review of Statistics and Its Application , volume=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09003617-fa1c-4f67-bc1a-252d722795a2 · outbound

This paper cites Journal of Machine Learning Research , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Journal of Machine Learning Research , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47b0ff9-b10f-450c-b25e-6aa07754650a · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62516d6-a252-456e-83c8-4a76596ca072 · outbound

This paper cites 2018 , organization=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data 2018 , organization=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2652c1-dd06-4847-be22-30f354d660fa · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523e21ff-84ae-47ed-baa7-ca63958bd0fd · outbound

This paper cites Computational Intelligence Methods for Bioinformatics and Biostatistics: 10th International Meeting , pages=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Computational Intelligence Methods for Bioinformatics and Biostatistics: 10th International Meeting , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282007d6-08f2-4b28-91f9-123677518071 · outbound

This paper cites Lifetime Data Analysis , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Lifetime Data Analysis , volume=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160c35b9-5549-45e5-859e-3b2fb5e29f55 · outbound

This paper cites Artificial Intelligence Review , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Artificial Intelligence Review , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b75dcca-67bb-49bf-b2dd-7fa76eb1f930 · outbound

This paper cites Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , pages=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79e159d-ad2e-4e55-b449-ec2d48769940 · outbound

This paper cites Journal of the American Statistical Association , year=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Journal of the American Statistical Association , year=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f990c52-bcdd-4bf7-b875-a41203f377ed · outbound

This paper cites an unresolved cited work.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 449f4c07-cab0-4262-b078-af265128e418 · outbound

This paper cites Meeker and George Ostrouchov , title =.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Meeker and George Ostrouchov , title =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5362ac34-a341-40ca-afd6-6394853580e2 · outbound

This paper cites Statistics in Medicine , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Statistics in Medicine , volume=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c57f19-63b9-4ed0-a8f4-b9186fa6f255 · outbound

This paper cites Biometrical Journal , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Biometrical Journal , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf76e381-b401-4b27-b329-bb6c5d37d556 · outbound

This paper cites Alzheimer's & Dementia: Translational Research & Clinical Interventions , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Alzheimer's & Dementia: Translational Research & Clinical Interventions , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a80b26-e2d7-40ce-9120-df8bcde50aa2 · outbound

This paper cites Journal of Electronics, Electromedical Engineering, and Medical Informatics , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Journal of Electronics, Electromedical Engineering, and Medical Informatics , volume=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d650d238-e746-4862-85bd-17a3c89eeef2 · outbound

This paper cites Frontiers in Oncology , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Frontiers in Oncology , volume=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0364594a-7a8f-4080-819a-8a81d3aa2e36 · outbound

This paper cites Quality and Reliability Engineering International , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Quality and Reliability Engineering International , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76379ab2-fc43-4fce-a51e-87af57d7dd63 · outbound

This paper cites 2020 , organization=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data 2020 , organization=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d50c12-d2d3-4eeb-bacf-543828f61407 · outbound

This paper cites The Use of Variational Inference for Lifetime Data with Spatial Correlations.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data The Use of Variational Inference for Lifetime Data with Spatial Correlations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:36.946987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f48069da-4d77-4ef2-8a01-bdeba33e104c · outbound

This paper cites Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:36.951322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44bf0dd8-5de1-4705-a052-d9e7a94f8e33 · outbound

This paper cites Biometrics , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Biometrics , volume=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50962b55-993e-4a70-88b7-5ba0408ea25e · outbound

This paper cites Journal of the American statistical association , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Journal of the American statistical association , volume=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6377a61b-8ef4-4eca-bd8d-e02fddf9e226 · outbound

This paper cites A review of the use of time-varying covariates in the.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data A review of the use of time-varying covariates in the

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb0c251-c4f8-4f29-8ab3-e24a1049ee46 · outbound

This paper cites Lifetime data analysis , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Lifetime data analysis , volume=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117a05a3-a939-4eb8-b780-7bfbc0da96da · outbound

This paper cites Biometrics , pages=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Biometrics , pages=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf81add-402b-447a-aaf6-0c835528a909 · outbound

This paper cites Spatial Statistics , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Spatial Statistics , volume=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ee93bd6-14b1-46b5-8a87-a25dfd59de05 · outbound

This paper cites Modeling of spatio-temporally clustered survival.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Modeling of spatio-temporally clustered survival

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af83c75-eeb9-4faf-bd7c-442b546da3eb · outbound

This paper cites Machine learning models for.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Machine learning models for

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f71d072-2bed-41bf-9673-b755bb3029f1 · outbound

This paper cites 2001 , publisher=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data 2001 , publisher=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d43ae1-0f82-4feb-8327-68d4efc24b34 · outbound

This paper cites Statistics in Medicine , volume=.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Statistics in Medicine , volume=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df2f78c-d93a-4281-87d3-620202d83be4 · outbound

This paper cites Dropout as a.

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data Dropout as a

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T15:29:48.925275Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.